The article reviews modern approaches to the use of computer technologies in the diagnosis and treatment of cardiovascular diseases in children. The main technologies discussed include artificial intelligence and machine learning for automated analysis of echocardiograms and ECGs, telemedicine and remote monitoring, three-dimensional visualization and 3D printing for surgical planning and training, wearable digital devices, and the integration of large clinical datasets for risk stratification and outcome prediction. The advantages and limitations of each technology are analyzed, including issues of validation, data security, and ethical aspects of their use in pediatrics. The article emphasizes the need to adapt algorithms to the age-related characteristics of children and highlights the importance of multicenter studies and regulatory frameworks for safe clinical implementation. The work is intended for clinicians, researchers, and medical students interested in the digital transformation of pediatric cardiology.